QUESTION 3 Suppose you have a classifier that has extremely high accuracy on training data, and relatively smaller accuracy on test data. This could be a case of missing data needing scaling high variance O high bias QUESTION 4 A screening test for defective items in a manufacturing plant flags very few good items as defective. We can say that the test has O high accuracy O High sensitivity high r^2 scores O high precision

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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QUESTION 3
Suppose you have a classifier that has extremely high accuracy on training data, and relatively smaller accuracy on test data. This could be a case of
missing data
needing scaling
high variance
O high bias
QUESTION 4
A screening test for defective items in a manufacturing plant flags very few good items as defective. We can say that the test has
O high accuracy
O High sensitivity
high r^2 scores
O high precision
Transcribed Image Text:QUESTION 3 Suppose you have a classifier that has extremely high accuracy on training data, and relatively smaller accuracy on test data. This could be a case of missing data needing scaling high variance O high bias QUESTION 4 A screening test for defective items in a manufacturing plant flags very few good items as defective. We can say that the test has O high accuracy O High sensitivity high r^2 scores O high precision
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